Technological changes such as Artificial Intelligence (AI) and the Internet of Things (IoT), are taking place at a rapid pace and lead to the fact that extensive and at the same time complex data sets can be digitally recorded and processed in the shortest possible time. Today, algorithms such as artificial neural networks perform tasks that until recently were reserved for experienced experts. This paradigm shift has led to the insights gained from data increasingly serving as the basis for answering far-reaching business management questions. Modern methods of data analysis in combination with powerful digital information systems offer new possibilities for evaluating structured and unstructured data.
The expectations of stakeholders are continuously evolving regarding the use of technology in audit practice and forensic analysis of business data sets. The new emerging discipline of "audit data science" describes the ability to analyse complex relationships in business process and accounting data. In addition, it encompasses the detection of inconsistencies and useful information in the data underlying an audit subject. As a result, "Audit Data Science" bundles a broad spectrum of knowledge from different disciplines, such as accounting, auditing, statistics, computer science and machine learning.
The certificate course "Certified Audit Data Scientist" offers a comprehensive and practice-oriented introduction to this exciting subject area. It shows the correlation of the different disciplines to use them profitably in combination. In particular, the course teaches technical skills for practical application in the areas of fraud, auditing, compliance, or forensics. Examples of the latest technological advances and their use are discussed, such as "visual analytics" (continuous audit) and "deep learning" (anomaly detection). The course is held in German.
Auditing and forensic data analyses (module 1)
Data analysis with Python and documentation of the analysis steps (module 2)
Risk-oriented and rule-based analysis method (module 3)
Statistics and analytic methods based on artificial intelligence (module 4)
Exploratory and visual analytic methods (module 5)
Certified Audit Data Scientist (CADS) (Frankfurt School of Finance & Management)
Employees from compliance, internal audit, risk management and internal control system departments, as well as consultants and auditors in state authorities.
The certificate course comprises five seminar days with eight web sessions. A total of five exams, one practical paper and one practical exam are on the schedule.
Each module day begins with a theory section. The newly acquired knowledge is then applied in the practical part (second half of the day).
Total fee, including the exam and the certification: 6,900 Euros
All amounts are exempt from VAT.